physics benchmark
PIQA is a benchmark dataset for physical commonsense reasoning in natural language, with 21,000 multiple choice questions about everyday physical interactions.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMI | Score88.60% | Percentile100.00% | Participants11 | EvidenceC | Evaluated |
| Rank02 | ModelNR | Score84.44% | Percentile90.00% | Participants11 | EvidenceC | Evaluated |
| Rank03 | ModelGO | Score83.20% | Percentile80.00% | Participants11 | EvidenceC | Evaluated |
| Rank04 | ModelGO | Score81.70% | Percentile70.00% | Participants11 | EvidenceC | Evaluated |
| Rank05 | ModelGO | Score81.00% | Percentile60.00% | Participants11 | EvidenceC | Evaluated |
| Rank06 | ModelGO | Score81.00% | Percentile50.00% | Participants11 | EvidenceC | Evaluated |
| Rank07 | ModelMI | Score81.00% | Percentile40.00% | Participants11 | EvidenceC | Evaluated |
| Rank08 | ModelGO | Score78.90% | Percentile30.00% | Participants11 | EvidenceC | Evaluated |
| Rank09 | ModelGO | Score78.90% | Percentile20.00% | Participants11 | EvidenceC | Evaluated |
| Rank10 | ModelMI | Score77.60% | Percentile10.00% | Participants11 | EvidenceC | Evaluated |
| Rank11 | ModelBA | Score55.20% | Percentile0.00% | Participants11 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What PIQA measures and how its scores work.
PIQA (Physical Interaction: Question Answering) is a benchmark dataset in the physics category that tests AI systems with multiple choice questions requiring physical world knowledge.
It measures the ability to choose the most appropriate solution for physical interactions in everyday situations, with performance reported as Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about PIQA.
Phi-3.5-MoE-instruct is currently ranked first with 88.60%.
The current leaders are Phi-3.5-MoE-instruct (88.60%), Hermes 3 70B (84.44%), and Gemma 2 27B (83.20%).
Phi 4 Mini has the lowest matched official input price at $0.08 input / $0.30 output per 1M tokens.
The fastest matched records are Phi-3.5-mini-instruct (23.00 tok/s via Azure).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures the ability to choose the most appropriate solution for physical interactions in everyday situations, with performance reported as Score in ratio units.
Yes. Higher values rank better for this benchmark.
11 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis piqa AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Phi-3.5-MoE-instruct currently leads PIQA with 88.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.